#BREAKING Mira announces the token name as MIRA #Bitcoin $BTC

To establish a new standard for reliable intelligence. Mira Network is integrating @0G_lab's advanced decentralized storage. This system delivers unparalleled affordability and permanent data verification. Which is crucial for powering Mira's ambitious goal of authenticating the world's information. Forging a future built on durable trust.

Hi there! 👋 I’m currently mining Lumira Coins for free using the MIRA Network application. ✅Sign up with my referral code to earn +1 Lumira: blossomgold2025 🌐Website: 📈Mira Network is an emerging crypto company based in Switzerland

Stablecoins are supposed to be the most boring part of crypto. One dollar in, one dollar out. But their stability depends on one thing most people ignore: attestations. Today, those attestations are done by humans, auditors, and oracles. Tomorrow, they’ll be done by AI. And unless those AI outputs are verified, stablecoins inherit AI’s fragility. That’s where @Mira_Network comes in. ———————————————————— ➩ The Current Stack Stablecoin issuers already live and die by trust surfaces: • Reserves → banks, treasuries, money market funds. • Oracles → Chainlink feeds, proof-of-reserves snapshots. • Attestations → periodic third-party audits, PDF disclosures. This works at $200B scale because regulators and institutions tolerate a margin of error. But once AI agents are tasked with running attestations in real-time, the margin of error disappears. ———————————————————— ➩ Where AI Breaks the Model AI-driven attestations are inevitable: • Automated parsing of bank statements. • Real-time cash flow reconciliations. • Continuous collateral monitoring across multiple custodians. The problem: AI models hallucinate, misinterpret, or get manipulated. If those outputs directly inform collateral ratios, stablecoins can depeg without reserves moving an inch. ———————————————————— ➩ How Mira Inserts Proof Into Attestations @Mira_Network doesn’t issue stablecoins. It doesn’t manage reserves. It doesn’t even touch fiat rails. What it does: verify AI outputs through consensus. Here’s the stack with Mira inserted: 1. Reserves → US Treasuries, fiat accounts, MMFs. 2. AI Attestation → Models parsing and reporting collateral levels. 3. Mira Verification → Multiple validator sets confirm the attestation is consistent and unbiased. 4. Market → On-chain stablecoin price + collateral confidence. Mira turns fragile AI attestations into auditable, consensus-backed proofs. ———————————————————— ➩ The Stakes for Stablecoins • Risk Layer: Stablecoin blowups are rarely about reserves, they’re about trust in reporting. Mira reduces this risk surface. • Regulatory Angle: US and EU frameworks are moving toward “continuous auditability.” Verified AI attestations could become a compliance standard. • Market Angle: Institutions will price a premium for stablecoins with verifiable, consensus-checked attestations. It’s the same reason Chainlink feeds became mandatory for DeFi collateral. ———————————————————— ➩ Where Mira Fits in the Bigger Picture Everyone’s focused on RWAs, ETH eco, or ETF flows. Almost nobody is pricing in stablecoins adopting AI-driven attestations, and the verification rails they’ll require. Mira as the middleware in this stack is the underpriced crossover: • Not a stablecoin issuer. • Not a RWA platform. But the arbiter that lets trillions in stablecoin value run on AI without breaking. ———————————————————— ➩ My Take The next stablecoin cycle won’t be won by reserves alone. It’ll be won by who verifies the attestations when AI agents replace auditors. @Mira_Network is positioning itself as that hidden collateral trust layer.

September is for TGEs. Union Portal to Bitcoin Allora Irys Mira Anoma* How many are you positioned for?

AI outputs face two basic questions: 1. Did this output come from the model I asked for? 2. Is the output actually correct? Most of today’s solutions only solve the first. They can prove that the output was generated by a certain model, but they can’t vouch for the truth of what was said. That’s like getting a receipt from a mechanic showing they replaced your brakes, but no proof the brakes actually work. --- ➩ What zkML Actually Guarantees Zero-knowledge machine learning (zkML) frameworks like Lagrange DeepProve or Modulus tackle “provenance.” They prove: • Input X was processed by Model Y. • Output Z matches that execution. It’s cryptographic proof that the computation happened faithfully. Critical for scientific computing, regulated industries, and sensitive finance. But zkML stops there. It proves the math was run correctly, not whether the answer makes sense. --- ➩ What Makes Mira Different From zkML @Mira_Network handles the second half: truth. Instead of proving how an answer was generated, Mira checks if it’s correct. The system: • Splits outputs into claims. • Routes them through multiple models run by verifier nodes. • Achieves consensus on truthfulness. • Issues a certificate — a receipt of correctness. So the output isn’t just “this model said it,” but “this model said it, and it’s true.” Think of it like a jury. zkML is the court stenographer proving every word was recorded faithfully. Mira is the jury deciding which statements hold up. --- ➩ Why Both Are Needed In high-stakes AI (agents, fintech, compliance) provenance alone isn’t enough. • zkML = Proof of Origin. • Mira = Proof of Truth. Together, they close the loop: execution integrity + information integrity. It’s the difference between knowing your accountant did the math and knowing the numbers are actually correct. --- ➩ The Emerging Trust Stack We’re watching AI adopt crypto’s layered security playbook. • zkML → proof of computation. • Mira → proof of correctness. • Restaked security & AVSs → economic guarantees for node honesty. It’s the same pattern crypto followed: consensus → oracles → restaking. Each layer compounds trust. --- ➩ The Opportunity AI won’t be trusted in production without guarantees. zkML alone isn’t enough. Mira alone isn’t enough. But together, they form a new verification standard. Enterprises, agents, and high-stakes AI apps now get both origin and truth. That’s the wedge for adoption. And wedges, when compounded, become moats.

Mira Network announced the establishment of a foundation, signaling an upcoming Token generation event. Mira Network, as an important participant in the blockchain ecosystem, recently announced the establishment of a foundation, a significant move that suggests its Token Generation Event (TGE) is about to launch. This development marks a critical moment for the network, aimed at enhancing its decentralized infrastructure and expanding community participation.

What is the concept of a foundation? Those who understand, understand, right??? Seeing @Mira_Network announce the foundation's news yesterday, my first reaction was that the TGE is coming! Previously, there were rumors that Mira would take a snapshot and have the TGE in mid-August. Although it's now the end of August, it can still be considered good news for Mira. In the past year, Mira has built key infrastructure components: Mira Flows allows developers to compose AI workflows, and Verify API makes AI outputs trustworthy through decentralized verification. Autonomous AI builds the first layer of a complete infrastructure stack. They have currently served 5 million users, proving that decentralized AI infrastructure can indeed create real value. Verification is just the beginning. Just as the internet requires more than just TCP/IP, but also protocols like DNS, HTTPS, and cloud computing, autonomous AI also needs its own foundational protocol stack. What the Mira Foundation aims to achieve is to enable AI agents to discover one another, trade value, maintain memory, coordinate complex tasks, and operate completely autonomously. From a technical perspective, the multi-model validation mechanism achieves an accuracy rate of 97-98% by allowing different AI models to independently verify each claim and then ensuring the accuracy of the output through a consensus mechanism. This approach does not rely on centralized supervision but instead decentralizes the validation authority to every participant in the network. Mission of the Mira Foundation: 🔹Ensure that the network remains trustworthy, neutral, and resistant to censorship. 🔹Promote the decentralization of network and protocol governance. 🔹Provide funding and resources for builders 🔹Cultivating a community around open, composable AI infrastructure What @Mira_Network is doing now is building a similar infrastructure for the AI era. It is a trust layer that allows intelligence to truly operate autonomously, collaborate with each other, and create value.

🚀 8.28 Morning Report丨 1️⃣ $BTC Bitcoin is still fluctuating within a range, and the market is neither hot nor cold. At this position, both bulls and bears are waiting for a bigger signal, with many people chasing highs and killing lows during short-term small fluctuations and getting harvested. The overall direction isn't bad, but patience is more valuable than impulsiveness. 2️⃣ $ETH The trend of Ethereum is actually quite interesting, with the bottom gradually rising: last time it was around 4100, and this time it is holding near 4300. It feels like it's secretly building up strength, with not many people in the market paying attention, but once it surges with volume, 5000 might be tested again. 3️⃣ $SOL Solana has been feeling a bit like it wants to "turn things around" these days, no longer just labeled as the "doomsday vehicle," but instead frequently trying to drive emotions. Right now, it still lacks some volume, but its community and sensitivity to funding have always been strong. If it really takes off, it could very likely ignite a wave in an instant. 4️⃣ Macroeconomic News German Bank says that the structural pressure on the US dollar is rising: US debt is becoming increasingly burdensome, and the independence of the Federal Reserve is also being questioned. Against this backdrop, if the US dollar weakens, it may actually be a slow-burning positive for cryptocurrencies. However, the macro transmission to the crypto circle will take time. 5️⃣ New Moves for Stablecoins Circle and Paxos are working on a new technology aimed at solving the old problem of "issuer identity verification and anti-counterfeiting." It sounds a bit boring, but in the long run, this is a necessary path for stablecoins to achieve compliance and scalability. Once this area is recognized by regulators, the threshold for funds to flow in will be much lower. 6️⃣ Pumpfun Pumpfun repurchased 58 million USD worth of PUMP, accounting for over 99% of the cycle's revenue. The data looks good, but the problem is that many of the repurchased tokens ended up being deposited back into the exchange and sold off, which is essentially just going in circles. To truly stabilize the coin price, we need to look at long-term strategies, not just the numbers on paper. 7️⃣ Financing News Former Polymarket executives secured $15 million from Coinbase and USV to create a competing prediction market. Capital is still interested in this sector, but it is still a bit far from large-scale application. 8️⃣ RWA Progress Paraguay launches a tokenization project through Moonbeam, and RWA continues to land around the world. Although the scale is small, the trend won't stop - it's only a matter of time before real assets move onto the blockchain. 9️⃣ NVIDIA Financial Report Q2 revenue of 46.74 billion USD was surprisingly lower than expected. Even the AI leaders "didn't exceed expectations," so market enthusiasm is likely to cool a bit. The AI narrative needs to calm down a little. 🔟 BetterBank Hacker Returned 550 million pDAI, worth approximately 2.7 million US dollars. Although it's a good thing, such events highlight that security issues are still a major challenge. 1️⃣1️⃣ SOL reserve data Currently, 13 companies and institutions have disclosed holding 8.277 million SOL (worth approximately $1.69 billion), of which 585,000 are used for staking. The signs of institutional entry are quite evident, which is also why the sentiment around SOL remains strong. 1️⃣2️⃣ U.S. Department of the Treasury Citing Cook, calling on the Federal Reserve to conduct an internal review, and also mentioning the issue of mortgage fraud. This kind of thing has little short-term impact, but once it involves the financial system, it could become a risk point for the market. 13 Hyperliquid The calculation of the marked price has been optimized, and now the funding rates for $WLFI and $XPL have skyrocketed to an annualized 100% - 800%, which is absurdly higher than the previous 11% annualized rate. Players should take note and be careful not to be easily lured in by high returns and end up as reverse chips. 14 Mira Network Decentralized AI infrastructure announces the establishment of a foundation, suggesting a potential rapid TGE. Projects combining AI and blockchain are coming in batches, but the key still lies in the speed of implementation. 💡 Summary The market is becoming increasingly dull, with range-bound fluctuations as the main theme. During quiet market periods, retail investors are the most anxious, and the leverage on contracts keeps increasing; even small fluctuations can lead to liquidation. At this time, it's not about speed, but rather who can withstand the rhythm.

Mira @Mira_Network has released a new mini-game called "Illusion Detective". It should have nothing to do with airdrops, purely an experience, allowing one to intuitively feel what "AI hallucination" is. You can set your own theme or choose from the platform's preset themes. One of the 3 answers is "AI-generated." In other words, this answer looks very reasonable and professional, but it is actually incorrect and can easily mislead people; it is very misleading. Nowadays, many people use AI as a daily tool, but how much of the answers and results provided by AI are true? How much is fabricated? This may be the problem that Mira aims to solve, turning "authentication" into a verifiable process, ensuring that facts no longer rely on a single source's assertions, but rather ensure information credibility through multi-model consensus verification. In this era of AI explosion, trusting the wrong thing once can be a huge cost. // Once again, it's not much related to airdrops, but interested brothers can give it a try. Entrance:

#BREAKING Mira Network establishes a foundation, hinting at or nearing TGE. #Bitcoin $BTC

CoinVoice has recently learned that the Mira Foundation has officially announced its establishment as an independent organization dedicated to promoting trustless artificial intelligence infrastructure development and supporting the growth of the Mira ecosystem. It is reported that the Mira Foundation will serve as the long-term manager of the Mira Network, focusing on trustless networks and protocol governance, providing tools and support for developers, researchers, and the community. The foundation will actively promote the construction of a trustless AI infrastructure ecosystem through prototype reference implementations, institutional collaborations, talent recruitment, and funding for infrastructure startups.

According to a report from CoinWorld, the decentralized AI infrastructure Mira Foundation announced on the X platform that it has officially been established, possibly hinting at an upcoming TGE. As an independent entity, the foundation is committed to advancing trustless artificial intelligence infrastructure development and supporting the growth of the Mira ecosystem.

The GPT-5 Plateau The market expected GPT-5 to deliver a step change. Instead, it delivered incremental gains. Plateau fears are back. This pattern is familiar. Every hype cycle runs the same curve: • Phase 1: Exponential optimism. • Phase 2: Disappointment when the product underdelivers. • Phase 3: Capital rotates into rails that are still required when the narrative collapses. AI is now entering Phase 2. -- 📌 The DeFi Parallel In 2020, DeFi food farms promised 10,000% APYs. For a few weeks, they dominated flows. Then they imploded. What survived? Chainlink oracles and lending/settlement protocols like Aave and Maker. The applications collapsed, but the rails that made the system work became permanent. The same will happen in AI. Model hype will fade. Verification rails will remain. -- 📌 Where Mira Fits @Mira_Network is the Chainlink of AI. It doesn’t bet on whether GPT-5, Claude, or DeepSeek wins. It routes across them, verifies their outputs, and provides signed proofs of correctness. As AI grows more critical in finance, governance, and enterprise, black-box models aren’t enough. You need consensus, auditability, and dispute resolution. Mira makes this non-optional. -- 📌 Why Infra Rallies Post-Hype When multiples compress, investors look for: • recurring demand independent of hype, • compounding network effects, • and regulatory alignment. Verification hits all three. Each new model, each new user, each new regulation strengthens Mira’s moat. -- 📌 The Bet DeFi food farms vanished. Chainlink became non-negotiable. NFT floors collapsed. Opensea volumes persisted. If the AI hype cycle resets, the survivors will be the trust rails. Mira is building those rails today. When hype fades, infrastructure rallies.

The GPT-5 Plateau The market expected GPT-5 to deliver a step change. Instead, it delivered incremental gains. Plateau fears are back. This pattern is familiar. Every hype cycle runs the same curve: • Phase 1: Exponential optimism. • Phase 2: Disappointment when the product underdelivers. • Phase 3: Capital rotates into rails that are still required when the narrative collapses. AI is now entering Phase 2. -- 📌 The DeFi Parallel In 2020, DeFi food farms promised 10,000% APYs. For a few weeks, they dominated flows. Then they imploded. What survived? Chainlink oracles and lending/settlement protocols like Aave and Maker. The applications collapsed, but the rails that made the system work became permanent. The same will happen in AI. Model hype will fade. Verification rails will remain. -- 📌 Where Mira Fits @Mira_Network is the Chainlink of AI. It doesn’t bet on whether GPT-5, Claude, or DeepSeek wins. It routes across them, verifies their outputs, and provides signed proofs of correctness. As AI grows more critical in finance, governance, and enterprise, black-box models aren’t enough. You need consensus, auditability, and dispute resolution. Mira makes this non-optional. -- 📌 Why Infra Rallies Post-Hype When multiples compress, investors look for: • recurring demand independent of hype, • compounding network effects, • and regulatory alignment. Verification hits all three. Each new model, each new user, each new regulation strengthens Mira’s moat. -- 📌 The Bet DeFi food farms vanished. Chainlink became non-negotiable. NFT floors collapsed. Opensea volumes persisted. If the AI hype cycle resets, the survivors will be the trust rails. Mira is building those rails today. When hype fades, infrastructure rallies.

The GPT-5 Plateau The market expected GPT-5 to deliver a step change. Instead, it delivered incremental gains. Plateau fears are back. This pattern is familiar. Every hype cycle runs the same curve: • Phase 1: Exponential optimism. • Phase 2: Disappointment when the product underdelivers. • Phase 3: Capital rotates into rails that are still required when the narrative collapses. AI is now entering Phase 2. -- 📌 The DeFi Parallel In 2020, DeFi food farms promised 10,000% APYs. For a few weeks, they dominated flows. Then they imploded. What survived? Chainlink oracles and lending/settlement protocols like Aave and Maker. The applications collapsed, but the rails that made the system work became permanent. The same will happen in AI. Model hype will fade. Verification rails will remain. -- 📌 Where Mira Fits @Mira_Network is the Chainlink of AI. It doesn’t bet on whether GPT-5, Claude, or DeepSeek wins. It routes across them, verifies their outputs, and provides signed proofs of correctness. As AI grows more critical in finance, governance, and enterprise, black-box models aren’t enough. You need consensus, auditability, and dispute resolution. Mira makes this non-optional. -- 📌 Why Infra Rallies Post-Hype When multiples compress, investors look for: • recurring demand independent of hype, • compounding network effects, • and regulatory alignment. Verification hits all three. Each new model, each new user, each new regulation strengthens Mira’s moat. -- 📌 The Bet DeFi food farms vanished. Chainlink became non-negotiable. NFT floors collapsed. Opensea volumes persisted. If the AI hype cycle resets, the survivors will be the trust rails. Mira is building those rails today. When hype fades, infrastructure rallies.

The GPT-5 Plateau The market expected GPT-5 to deliver a step change. Instead, it delivered incremental gains. Plateau fears are back. This pattern is familiar. Every hype cycle runs the same curve: • Phase 1: Exponential optimism. • Phase 2: Disappointment when the product underdelivers. • Phase 3: Capital rotates into rails that are still required when the narrative collapses. AI is now entering Phase 2. -- 📌 The DeFi Parallel In 2020, DeFi food farms promised 10,000% APYs. For a few weeks, they dominated flows. Then they imploded. What survived? Chainlink oracles and lending/settlement protocols like Aave and Maker. The applications collapsed, but the rails that made the system work became permanent. The same will happen in AI. Model hype will fade. Verification rails will remain. -- 📌 Where Mira Fits @Mira_Network is the Chainlink of AI. It doesn’t bet on whether GPT-5, Claude, or DeepSeek wins. It routes across them, verifies their outputs, and provides signed proofs of correctness. As AI grows more critical in finance, governance, and enterprise, black-box models aren’t enough. You need consensus, auditability, and dispute resolution. Mira makes this non-optional. -- 📌 Why Infra Rallies Post-Hype When multiples compress, investors look for: • recurring demand independent of hype, • compounding network effects, • and regulatory alignment. Verification hits all three. Each new model, each new user, each new regulation strengthens Mira’s moat. -- 📌 The Bet DeFi food farms vanished. Chainlink became non-negotiable. NFT floors collapsed. Opensea volumes persisted. If the AI hype cycle resets, the survivors will be the trust rails. Mira is building those rails today. When hype fades, infrastructure rallies.

Competitive analysis in crypto is rarely about surface similarities. It’s about structural incentives: the architecture beneath the buzz. Two projects dominate the conversation around decentralized AI infrastructure: • Mira, and • Bittensor ($TAO). On paper, both decentralize access to AI. In practice, their models diverge sharply. --- ➩ Bittensor’s Model Bittensor built a network where AI developers contribute models to “subnets,” and inference requests are routed across them. Rewards flow to those providing useful responses. It’s a marketplace economy: • Supply = contributed models. • Demand = inference calls. • Price discovery = staking and reputational scoring. The strength of this design is openness; anyone can contribute a model, anyone can consume. But openness is also its weakness. Markets don’t guarantee truth. They optimize for supply and throughput, not correctness. When capital flows into inference marketplaces, the game is “who can answer faster, cheaper, more convincingly.” Verification is not the native primitive. --- ➩ Mira’s Model Mira was designed around a different assumption: that AI outputs without verification are worthless in high-stakes systems. Its architecture decomposes AI responses into factual claims, distributes them across independent models, and requires consensus. Only when multiple verifiers agree is a certificate minted: a cryptographic receipt that the output is true enough to trust. The economy is not about throughput. It’s about incentivized honesty: • Nodes stake to verify. • Slashing deters manipulation. • Redundancy ensures resilience. Consensus creates an incentive gradient toward truth, not just utility. --- ➩ The Diverging Use Cases of Mira vs Bittensor For consumer chat apps, an inference marketplace may be enough. Faster, cheaper responses capture attention. But as AI agents begin to hold capital, execute trades, or operate in regulated industries, the bar shifts. “Convincing” is not sufficient. Auditable, verifiable truth becomes the commodity. Institutions don’t allocate into opaque marketplaces. They allocate into systems with receipts. Mira’s design answers that demand directly. --- ➩ My Take Bittensor = an open bazaar for model supply. Mira = an infrastructure layer where truth is the product. Both have roles in the AI economy. But when the next liquidity wave arrives (ETFs, RWAs, institutional agents) the system that can prove correctness, not just provide output, will capture the highest-value flows. That system is @Mira_Network.

AI valuations are overheated. Even Sam Altman admits there’s a bubble forming. What happens when it pops? Capital flows to infrastructure. The rails always outlast the hype. @Mira_Network is building those rails for AI. Instead of competing on model size, it focuses on verification. -- 📌 That means: ▪ Model routing: queries are distributed across diverse models. ▪ Consensus checks: outputs are validated by independent nodes. ▪ Trust layer: users and enterprises get measurable reliability. -- 📌 Why Verification Survives the AI Bubble: ▪ Bubble defense: apps and GPU farms collapse when funding dries. Verification infra remains necessary. ▪ Institutional angle: institutions don’t adopt black-box AI. They require auditable systems. Mira provides this. ▪ Crypto parallel: in DeFi, oracles and settlement layers retained value even after yield-farming hype faded. When the next wave of capital rotates into sustainable systems, verification networks like @Mira_Network are positioned to win.

August–September is prime TGE season and @Mira_Network may be next. ▸ Mira splits AI outputs into verifiable “atomic statements”, cross-checks them with multi-model nodes, and uses a hybrid PoW/PoS consensus to boost accuracy to 96–97%. ▸Partners include IOnet, Spheron, Gigabrain, Monad, building scalable, trusted AI verification infra. ▸ Still in testnet, users can earn points via Klok (potential future airdrop). Already 4M+ users, 500K+ daily actives, and billions of tasks processed. ▸ Mainnet + token launch expected in September could be the wave to catch.

Their DeepProve roadmap delivers cryptographically secure AI, with proofs of fairness ensuring ethical models without exposing sensitive data. Picture loan algorithms proving equitable treatment without revealing credit details or admissions systems meeting criteria privately. Key Wins: Collaboration with Mira establishes trust benchmarks—Mira validates outputs, DeepProve confirms computations. In healthcare, DeepProve ensures dosage AI is verifiable: patient data in, suggestion out, backed by real-time proof for critical care. $LA Powers It: Lagrange’s ZK tech boosts blockchain efficiency and security. Developers, integrate for verifiable AI and cross-chain innovation!

I’ve been around crypto long enough to see the pattern is the real value lies in the primitives everything else builds on. #Bittensor# gave us Decentralized Compute #Filecoin# gave us Decentralized Storage #Link# gave us Decentralized Data Feeds. Each one filled a gap that made whole categories of applications possible. What I see missing now is the primitive for trusting machine outputs. That’s the gap @Mira_Network’s filling with a Decentralized Verification Layer for AI outputs. Where Chainlink made data from the outside world machine-readable for blockchains, Mira makes AI’s answers machine-verifiable for everyone. It’s the same idea with independent nodes, economic incentives, and consensus. But instead of prices or weather, they’re verifying claims, detecting hallucinations, and now, with ZK, proving the computation itself. Every cycle, crypto gets a few new base-layer bets. I think Mira’s one of them.

Everyone’s chasing bigger AI models right now But the real meta is verifiable AI and @Mira_Network is quietly cornering it DeepProve zk-proofs now make every model inference on Mira trustless, auditable, and 158× faster than the old zkML libs That’s live infra for AI agents that can prove their own logic, not just guess Think oracles, on-chain governance, DeFi bots running on outputs you *know* are correct High-stakes use cases nobody else can touch Watch this space before TGE sneaks up on you

Lagrange's recent collaboration with Mira Network is worth following, as both parties are building a trust infrastructure for decentralized AI. Mira has always focused on decentralized verification of AI outputs, auditing and consensus verification of model responses through a distributed network of verification nodes. However, Lagrange's DeepProve technology takes this to a new level — it can generate zk-SNARKs for each model inference, achieving a proof generation speed 158 times faster than the existing zkML libraries. This combination is very interesting. Mira is responsible for verifying the authenticity of AI outputs, while DeepProve mathematically proves the correctness of the computational process. Specifically, it addresses three core questions: Is the model actually running? Is the computation executed correctly? Can the output be trusted on-chain? This dual verification mechanism sets a new standard for Decentralization in AI. On the technical indicators, DeepProve shows obvious advantages. In addition to its impressive proof speed, it can also maintain privacy-preserving logical verification, which is particularly important for AI applications that need to handle sensitive data. More crucially, these proofs can be directly integrated with oracles, smart contracts, or compliance systems, providing a verifiable AI service foundation for the entire Web3 ecosystem. From the perspective of application prospects, this architecture may reshape the way AI services are used. Developers can build models that can self-verify logic, and intelligent agents can validate each output, ultimately forming an auditable AI service network. Considering the prevalent "black box" problem in the current AI + blockchain field, this verifiability design clearly aligns more with the spirit of Decentralization. As cooperation deepens, the role of LA tokens in the verification network may become more pronounced. {future}(LAUSDT)

What is Klok AI from @Mira_Network Klok is a chat application developed by the Mira Network platform. It uses multiple language models (multi-LLM) on a decentralized infrastructure, ensuring the verification and reliability of responses through a consensus mechanism between models. Among the available models are GPT-4o mini, LLaMA 3.3 70B Instruct, DeepSeek-R1, and others that will be added over time. Klok guarantees the verification of AI responses: if the output is incorrect, it is discarded and a new one is generated until a verified result is obtained. When comparing Klok and GPT-4, Klok is an innovative Web3 platform with an AI model ecosystem, built-in answer verification, and an AirDrop system.

"The First Episode of the Story of CC and @Mira_Network" CC and Teacher Mira met in the classroom, Teacher Mira asked CC: What is Mira? CC said Mira focuses on building an AI trust layer, empowering over four million users, aiming to eliminate artificial intelligence illusions! @MiraNetworkCN Gmira

This morning, I was sweating profusely on the elliptical machine at the gym when a light bulb went off in my head. The current combination of AI and Blockchain is just like the way smartphones disrupted the internet a decade ago. Both of these technologies are formidable on their own, but to truly create something disruptive, we need to see how they spark together. In the past couple of days, I saw the interaction between @0G_labs and @Mira_Network. These two can really spark something; they might just unravel the deadlock of the AI black box. The most terrifying thing about AI today is not that it is "not strong enough," but rather that it is "strong but untrustworthy." It can analyze problems like an expert, yet it does not take responsibility for its judgments like humans do. For instance, medical AI can provide diagnoses, but you will never know if it has missed key issues in the medical history. Financial AI can recommend investment portfolios, but no one can clearly say whether its conclusions are based on contaminated data. Autonomous driving may seem mature, but in the next second, it could overlook a suddenly appearing pedestrian. This kind of "unverifiable reliability" makes AI a "dangerous smart person" in high-risk areas. No matter how powerful its capabilities are, as long as we do not trust it, no one dares to use it. 0G Labs and Mira Network are technically deeply coupled at the infrastructure and application layers. The verifiable storage and high-performance computing architecture provided by 0G builds a data authenticity anchor and verification computing engine for Mira's claim verification system. Through the bidirectional verification mechanism of many networks, this underlying pollution-resistant and upper-layer auditable architectural design indeed addresses the core demands of the industry more effectively than traditional single-layer solutions. The current data storage system highly relies on centralized servers, while blockchain technology has achieved a paradigm shift in data security through "decentralized networks + cryptographic verification." By contributing computational power and verifying data authenticity, token incentives are obtained, forming a game-theoretic balance of "cost of wrongdoing > expected benefits". At the same time, users can independently audit the credibility of AI outputs based on on-chain proof of verification history and multi-party cross-validation. If this model operates at scale, it may shift the development of AI from "efficiency first" to "trustworthiness and verifiability at the core." High-sensitivity fields such as healthcare and finance may accelerate their embrace of AI technology, while ordinary users will upgrade from "one-way consumption of AI content" to "participating in verification and sharing ecological value," achieving a deep integration of Web3 and AI at the governance and incentive levels. #0G_labs #KAITO #0G #Yaps @KaitoAI @cookiedotfun

Not to say too much, many people have opinions about Kaito's new leaderboard. @Mira_Network is also speaking out for the community! We will not ignore every partner who speaks up for Mira. Gmira @MiraNetworkCN Brothers who haven't made it to the list yet, let's put in some extra effort while we still can! Let's go! Just say Gmira

According to CB Insights data, there are currently 498 AI "unicorn" companies worldwide valued at over $1 billion, with a total value of $2.7 trillion. Among them, 100 were established in 2023 and later, and the number of companies valued at over $100 million has exceeded 1,300. The core of this wealth feast is the astonishing fundraising ability and continuously rising valuations of AI startups. Anthropic is negotiating to raise $5 billion at a valuation of $170 billion, nearly doubling its valuation since March. Thinking Machines Lab, founded by former OpenAI CTO Mira Murati, completed a $2 billion seed round in July, setting the record for the largest seed round in history. This round of wealth creation is not limited to startups; it includes the soaring stock prices of publicly traded tech giants such as Nvidia, Meta, and Microsoft, as well as the booming development of infrastructure companies like data centers, which together form the panorama of this AI wealth explosion. Andrew McAfee, a principal researcher at MIT, stated, "Looking back at the data from the past 100 years, we have never seen such a scale and speed of wealth creation; it is unprecedented." This year's blockbuster funding rounds are mass-producing new billionaires. According to Bloomberg's estimate in March, the four largest private AI companies have created at least 15 billionaires, with a total net worth of 38 billion dollars. Since then, more than a dozen unicorn companies have emerged. According to media reports citing informed sources, Anthropic AI's CEO Dario Amodei and his six co-founders are now likely billionaires with fortunes in the billions of dollars. Additionally, Anysphere was valued at $9.9 billion during its funding round in June, and a few weeks later, it reportedly received valuation offers between $18 billion and $20 billion, which is likely to make its 25-year-old founder and CEO Michael Truell a billionaire.

. @Mira_network isn’t just building AI it’s engineering trust. each output moves from hallucination risk to verifiable truth. Statistical pattern analysis exposes lazy validators, network-wide consensus elevates honesty. 2B+ claims tested daily, 96%+ accuracy, onchain receipts Klok app drives real incentive flows, node ops get proof-of-participation If bitcoin secures transactions, mira secures judgment This is how trustless AI flips the game gMira, yappers know verification isn’t optional #mira #miranetwork

When Chainlink launched in 2017, the goal was clear: Bring reliable, offchain price data into onchain systems so DeFi could function without trusting a single data source. It worked. Oracles became the backbone of lending, derivatives, and automated market making. Billions in TVL depend on them. But that was the data era. The next era is about facts. ••• -- 📌 What price feeds miss in AI-driven systems Price feeds are binary: ETH/USD is either $3,472.54 or it’s not. They’re measurable, verifiable, and easy to agree on. Now look at AI-driven systems: ▸ Was the medical diagnosis accurate? ▸ Did the trading agent follow the risk parameters? ▸ Is this research paper citing correct sources? These aren’t price points. They’re judgments. And they require reasoning, not just data retrieval. Oracles don’t solve that. -- 📌 Why Mira is building the reasoning layer for Web3 A cognition layer is an oracle for reasoning. It takes an AI output, breaks it into atomic claims, sends them to multiple models, and reaches consensus on truthfulness. @Mira_Network is building this layer: ▸ Diverse LLMs act like independent oracle nodes. ▸ Outputs are verified through hybrid PoW (real inference work) and PoS (stake-weighted dispute resolution). ▸ Results are cryptographically signed and, when needed, proven in zero-knowledge. Just as Chainlink made DeFi possible, cognition layers make trustless AI possible. -- 📌 How cognition layers prevent black-box risk If DeFi protocols are going to integrate AI agents; for trading, risk modeling, fraud detection they need a way to verify that the agent’s decision was correct. Without verification, you’re betting your treasury on an unproven black box. Cognition layers: ✅ Allow AI agents to be auditable in real-time. ✅ Make compliance easier in regulated markets. ✅ Enable “truth-based” settlement across chains and apps. -- 📌 The Investor Angle Think back to 2018–2020. Those who understood oracles before they became infrastructure leaders caught the upside. Today, cognition layers are at that same inflection point. They’re not yet mainstream. But once AI agents go onchain in size, they’ll be as non-negotiable as price feeds are today. -- ✍️ Conclusion Oracles gave blockchains access to prices. Cognition layers will give blockchains access to truth. @Mira_Network is positioning to be the Chainlink of the reasoning era.

Today, the luck in the @anoma Testnet lottery wasn't great. There were a total of 41 lottery chances, and in the end, only 1 red ball, 3 basketballs were drawn, with the remaining 37 being white balls. In terms of points, they are 10000 points for the red ball, 7500 points for the basketballs, and 3700 points for the white balls, totaling 21200 points. Although the lottery results were somewhat unsatisfactory, the lottery odds remain the same. Even if the number of draws increases, it also means that the odds of winning decrease. However, in the 15-second contract gameplay of BITFLIP, I successfully earned back 20,000 points, which is quite pleasing. Overall, although the luck in the lottery for this operation was not great, I still gained more points through diverse gameplay. I really like the gameplay of the @anoma Testnet; it is much more interesting compared to doing tasks on other testnets. @0G_labs Although the TGE time has yet to be confirmed, the official attitude has always been good. @KaitoAI Once the new rules are out, many people's rankings, which they have worked hard to build for months, are placed at the children's table. 0G stands up immediately to defend the builders, rather than relying on those who have high weights and can just post countless AI articles daily to get on the list. After the update from @Kaitoai, the official person in charge of 0G, @ghcryptoguy, began to collect feedback from the community and prepare to communicate with the team. For the builders of 0G, we believe that there will ultimately be a fair outcome. The vision of 0G is clear - to create a better, fairer, and more open AI ecosystem, allowing for a more reasonable distribution of power and the free growth of innovation. Since their establishment, they have indeed been taking concrete actions step by step to fulfill this goal. I hope everyone can work together to build it!!! I recently saw that @Mira_Network completed a $9 million seed round financing in 2024, led by Bitkraft Ventures and Framework Ventures, with other investors including well-known institutions and angel investors like Accel, Mechanism Capital, Folius Ventures, and SALT Fund. This indicates a strong recognition in the market of Mira's potential to build the underlying trust for AI, and optimism for the future of the entire AI sector. Mira leverages decentralized multi-model consensus verification to ensure the authenticity of AI-generated content and is expected to become an industry safety standard, similar to HTTPS on the internet. It is not simply a model coin for hype, but a true AI notary, helping users verify whether the answers provided by AI are true or false. All AI results must undergo its verification to be considered accurate. I personally think that from technology to capital, Mira's preparations are very sufficient, and the future operating speed may far exceed expectations. As AI applications become more widespread, a reliable verification mechanism will become a necessity in the industry, and Mira's solution addresses the pain point of AI accuracy. If this system can truly be implemented, Mira is likely to become the core infrastructure in the AI field, helping the industry enter a more mature and reliable new stage. Future development will either see a major explosion or an even greater explosion, with basically no suspense. Society is progressing, technology is also advancing, and the AI sector continues to look promising. #KAITO #Yaps

#MIRAI#Mira is about to take off

Gmira @Mira_Network Has the TGE for #Mira# happened today? Not yet @KaitoAI #Kaito# #Mira#network

After writing three articles about Mira @Mira_Network in a row, my rankings have surged like crazy, now sitting at ninth place on the weekly chart and twenty-second on the monthly chart, fighting together with the Mira family. As artificial intelligence deeply integrates into life, especially in high-risk fields such as healthcare and finance, the authenticity, effectiveness, and tamper-resistance of AI outputs become crucial. Any lies or significant deviations from truth by AI could lead to enormous costs; therefore, proving the credibility of AI-generated content has become a critical challenge that needs urgent resolution. I saw that in April, Gaia @Gaianet_AI collaborated with Mira @Mira_Network to bring trustless verification for AI-generated content. Mira's core innovation lies in leveraging the consensus of multiple independent AI models to validate outputs. This cross-validation mechanism can effectively suppress common AI hallucinations and biases, reducing such issues by up to 90%. Currently, the network has robust processing capabilities, serving over 2.5 million users daily, providing reliable assurance for high-risk areas. This strong alliance marks the beginning of building a more robust AI trust infrastructure. Gaia's extensive distributed network will be deeply integrated with Mira's trustless verification protocol, which will greatly enhance the resilience, decentralization, and coverage of the verification network, enabling it to seamlessly scale to more complex real-world autonomous application scenarios such as autonomous driving, industrial automation, etc. The ultimate goal is to allow AI to operate safely and autonomously in the physical world. The collaboration between Gaia and Mira marks the beginning of a new era of trust in artificial intelligence. Through a trustless consensus mechanism, the outputs of AI can self-verify their authenticity and reliability, laying the foundation for undertaking significant responsibilities in the real world. Gaia users have become the first participants in this trustworthy future.

🧠 @Mira_Network is cooking something different Everyone’s chasing AI speed, but who’s building for trust? Mira is that rare trust layer you get answers, but you also get receipts. Every output gets checked by a squad of models, not just one. Consensus, not confidence. ZK proofs, outputs on-chain, real-time verification no more black box, just verifiable facts. Stats show: error rates cut from 30% to 5%, 4M+ users, 19M+ weekly queries. This isn’t hype, it’s infrastructure. gMira future of AI is trust, not just scale

⚔️⚔️gmira ⚔️⚔️ Here Is How @Mira_Network 's Incentive Design Scales AI Verification Mira Network is built as a decentralized system where economic incentives ensure honest AI verification at massive scale. With AI verification, the "correct" answer isn't known ahead of time. but Mira solves this through an elegant combination of Proof-of-Work and Proof-of-Stake mechanisms that work together like a perfectly balanced machine. The beauty of this system is that it scales naturally. As demand for verification grows, more validators are incentivized to join the network. Mira isn't just securing transactions or data, it's securing our shared understanding of reality.

If you want to determine how much an answer is worth, maybe this time Mira has a say. I've been thinking, this new mechanism introduced by Mira @Mira_Network @MiraNetworkCN looks so familiar. Later, flipping through memories, I suddenly remembered, do you 90s kids still remember "One vs. One"? I don't know if the Mira @Mira_Network project team is a loyal fan of this program, but the gameplay really feels a bit similar: a quiz for the whole audience, everyone has one vote, and only those who answer correctly qualify for the prize. If you choose correctly, of course, you have a lot of contestants behind you, and you will share the rewards. If you answer incorrectly, then just wait to be OUT. Now it looks a lot like Mira @Mira_Network Let me start from here. ____📑____📑____📑____📑____📑____📑____ "What Mira does is to make AI speak responsibly." What AI says is verified by someone. Who decides right or wrong? It's not a single model that has the final say, nor is it Mira @Mira_Network making the decision alone. It requires that the answers between validators be similar and close to each other in order to pass. Under the new mechanism, if you stake, submit answers, and they are highly consistent with others, it shows that you are not talking nonsense, and rewards should be given accordingly. If the answers are all over the place, the system will automatically mark them and deduct from your staking. This rule is there, it's not about who Mira @Mira_Network trusts, it's about a group of people whose answers must match. ____📑____📑____📑____📑____📑____📑____ "Don't think you can just blend in; after a while, Mira @Mira_Network will naturally see through it." If you guess the answers and fill them in randomly, you might get lucky and get away with it, but in the long run, you will definitely be found out. Mira @Mira_Network focuses on your overall performance in submitting answers, not just whether one question is right or wrong. You always stand out from others, constantly jumping between right and wrong, or having a fluctuating answering style. The Mira system can detect these traces. It is not about trusting anyone; it just observes objective laws. Those who deceive for points and think about getting rewards will find no escape under this mechanism. ____📑____📑____📑____📑____📑____📑____ "Credibility, no longer based on feelings" The authenticity of information has always been a question that no one can provide a unified answer to. In the past, people relied on experts and platforms, then on models. Now, Mira @Mira_Network has proposed a new approach: let all users of the platform provide their own judgments, and as long as the results are reliable, it will be "close enough." Now this is not an "abstract discussion"; it is about pricing "judgment behavior" using consensus and in the form of "deposits." Slowly, everyone will get used to asking: Has this answer been verified by Mira @Mira_Network? If verified, the answer already possesses "authority"; as for whether to believe it or not, it will no longer rely solely on "intuition". ____📑____📑____📑____📑____📑____📑____

⚔️⚔️g m i r a ⚔️⚔️ Two weeks ago @Mira_Network said soon The question Now is when is soon??? Mira network is Building the Trust Layer for AI Mira also need integration with Web2 Ai Technology We keep preaching Mira

【 @Mira_Network: This thing is specifically designed to deal with those deceptive things online!】 There are fake news and nonsense generated by AI everywhere online, right? The Mira project is really interesting, it's like installing a lie detector on the internet! In simple terms, it means: Anyone can be a "web detective": See suspicious messages? Check it! You can even make money if you verify it. Real information = real money: You can mine and earn coins by providing reliable information, while nonsense will result in direct fines. Special treatment for AI nonsense: equip ChatGPT with a "drunkenness prevention system" to stop it from talking nonsense. The most exciting thing is: ✓ Nearly 30,000 people are now "truth hunters" on this platform. ✓ More accurate than those professional anti-counterfeiting organizations. ✓ Even the founder of Wikipedia says it's reliable. In the future, when you see those "shocking" news online, there's no need to guess anymore; just go directly to Mira to verify it and you're done. The more you can distinguish between true and false, the more you earn! #Mira #Yaps #KaitoAI @KaitoAI

When the bank's AI gives you a credit limit that falls short of a BMW. [Mira Network Alert] Your credit score is being secretly judged by AI! @Mira_Network —— The Wall Breaker of Algorithmic Fairness A certain bank's customer unexpectedly experiences different fates despite having the same qualifications: Programmer A was approved for a limit of 500,000. Programmer B only received 280,000 The difference is enough to buy a new BMW 3 Series. Our AI autopsy report shows: ▶ Hidden variable: The regional weight of the alma mater exceeds 300% ▶ Nighttime consumption is misread as a risk signal ▶ Female users have an average limit that is 17% lower. Mira's "Bias Removal Technique": Establish a fairness loss function Dynamic Balance Module Generate interpretable report The difference after processing has been reduced to within 5%. Industry earthquake: 5 banks urgently removed credit models Regulators launch algorithm audit pilot The "Financial AI Ethics White Paper" adopts the Mira standard. Why do traditional detections fail? → Bias is hidden in the intersection of 300+ features. → Feedback loops exacerbate discrimination (low income → low limits → even lower income) Mira's 3D Strike: ✓ Feature level: Identify the transmission path of sensitive variables ✓ Structural aspect: Reconstructing the neural network attention mechanism ✓ System level: Block discriminatory data feedback This is not a technological upgrade—it's the beginning of the financial equality movement! #KaitoYap @KaitoAI @karansirdesai #Yap @Mira_Network

Summarize today's two money transfer projects. The first is $Light @heavendex A total of 20 million USDT has been raised so far, with 50% pre-sold. The project party has stated that only 5% will be added to the pool. I took a look at this project and there's really nothing much to it; it's all the same old stuff. Based on experience, I suspect that the big players are probably the project team themselves. Not understanding the point of FOMO, it might be a long time since we’ve seen such a big truck of new projects. The white paper mentions that a refund "may" happen, but it's unclear how much will be refunded; it could be a full refund or not a single cent. Right now, those who are investing are betting on the project's team's vision, but someone has dug up that the dev previously launched a coin that currently has a market value of only 30k, and there are too many uncontrollable factors. It's hard to evaluate. Another one is $RGB @Bitlight_wallet The first test asset of RGB version 0.12, a project I've been following for two to three years. I sold two seals of RGB++ for 5000u each before, this is the genuine RGB. But the project team started off with a big chunk, 420,000, charging 4u each, with a total cost of around 3M. In fact, I feel the odds are still acceptable, but the first project of RGB actually charges fees, which is really a bit painful for me, having followed this protocol for three years @DaPangDunCrypto. It's the teacher. If you want to hit, don't rush; even if you have 420,000 tickets to hit, it will take about 1-2 days. If I had to choose between the two projects, I would bet on $RGB for protection, after all, it's a project that some people have waited three years for, claiming to change the Bitcoin ecosystem. I wouldn't bet on the first project; based on my past experience, the chances of making money are low. Betting on this project is essentially gambling on people's trust. I'm not very familiar with the Dev of this project. Reflecting on the new big truck projects I participated in over the past few months, there were only two that made money: one is skyai, the four launching platform, and the other is the Japanese Ai $mira, which has financing and operational experience. Just enjoy it, DYOR

Mira Network Web3 infrastructure of the new generation, enhanced with artificial intelligence In a world where AI is rapidly being integrated into all areas of life, @Mira_Network embeds it directly into the Web3 ecosystem. It is not just a blockchain; it is a platform where AI and decentralization work together. AI is not just a trend. It is a tool that can radically change how decentralized networks work. Mira Network is one of the few projects that does not just talk about AI, but actually integrates it into its technology stack.

👨‍🍳 @Mira_Network is cooking something different Everyone’s chasing AI speed, but who’s building for trust? Mira is that rare trust layer you get answers, but you also get receipts. Every output gets checked by a squad of models, not just one. Consensus, not confidence. ZK proofs, outputs on-chain, real-time verification no more black box, just verifiable facts. Stats show: error rates cut from 30% to 5%, 4M+ users, 19M+ weekly queries. This isn’t hype, it’s infrastructure. gMira future of AI is trust, not just scale